Resources related to an array of Statistics, Modules, and SPSS information. Be sure to check tabs for further content and resources.
Access to Antioch SPSS Remote and introductory materials on using SPSS
SPSS Clicking on this tab takes you to the AU SPSS Remote Access Link
Reading and Understanding Research Modules 1, 2, and 3 and self-assessment tools
GSLC dissertations that illustrate various types of statistical analysis
Materials related to correlation, regression and path analysis
Materials related to comparative statistics, including t-tests and ANOVA
Adventures in Social Research
by
Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses. For students who are using SPSS for the first time, the free online study site includes video tutorials on basic procedures and operations and includes all SPSS data sets necessary for completing the exercises in the book. SAVE! SPSS bundles available Adventures in Social Research, 10e + SAGE IBM® SPSS® Statistics v24.0 Student Version Bundle ISBN: 978-1-5443-3750-0
Analyzing Quantitative Data
by
This book is about how to use quantitative data to answer research questions in social research. It is about how to analyze data in the form of a set of variables that have been measured on a collection of individuals or that have been collected about some aspects of social life. This is not a book on statistics, although it covers an array of statistical procedures. It is not a book on research methods, although it deals with some of the methods essential for quantitative social research. It is not a book on how to use statistical software packages, although it refers to such procedures.
Best Practices in Quantitative Methods
by
This is an edited volume on best practices in social research, including chapters on 21st-century stats, exploratory factor analysis, mixed methods research, small sample studies, quasi-experimental designs, meta-analysis, data cleaning and outliers, dealing with missing data, effect sizes, analysis of variance, and multiple and logistic regression.
Psychometric Theory
by
This text considers the measurement problems that arise in areas of psychology, education and areas of business such as management and marketing. This edition includes: statistical estimation; modern test theory and discussion of generalizability theory; factor analysis and the factoring of categorical data; new use of computer simulations while maintaining the use of examples that allow hand calculation; and overviews and summaries which have been added to each chapter, in addition to a greater number of worked examples.
Reading Statistics and Research
by
This book gives examples of how to read, understand, and critique journal articles that report on a range of study designs and types of statistical analyses as well as reliability and validity and foundations of inferential statistics.
The Seven Pillars of Statistical Wisdom
by
"A summary of the seven most consequential ideas in the history of statistics, ideas that have proven their importance over a century or more and yet still define the basis of statistical science in the present day. Separately each was a radical idea when introduced, and most remain radical today when they are extended to new territory. Together they define statistics as a scientific field in a way that differentiates it from mathematics and computer science, fields which partner with statistics today but also maintain their separate identities. These "pillars" are presented in their historical context, and some flavor of their development and variety of forms is also given in historical context. The framework of these seven is quite different from the usual ways statistical ideas are arranged, such as in most courses on the subject, and thus they give a new way to think about statistics."
Statistics for People Who (Think They) Hate Statistics
by
"The book is designed for beginning statistics students. It takes a straightforward approach focusing on clear and detailed communication, combined with sparks of humor, and is designed to engage the reader. It Statistics seeks to help students understand the material they read in journal articles, explain the meaning of the results of statistical analyses examples, and teach them how to perform basic statistical tasks"
Using multivariate statistics
by
Advanced and multivariate statistical methods : practical application and interpretation
by
Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition. All SPSS directions and screenshots have been updated to Version 23 of the software. Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.
Applied Multivariate Statistics for the Social Sciences
by
This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use the packages effectively, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size (by providing guidelines) so that the results can be generalized. The new edition features a CD-ROM with the data sets and many new exercises. Ideal for courses on advanced or multivariate statistics found in psychology, education, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial analysis of variance. It does not assume a working knowledge of matrix algebra.
Reading and Understanding More Multivariate Statistics
by
This work describes research questions for which the statistic is most appropriate, the underlying assumptions and rationale of the analysis, and the logic behind interpreting the results. It is designed to clarify each statistic's logic and utility rather than teach applications.
Using Multivariate Statistics
by
For advanced undergraduate and graduate statistics courses in Social and Behavioral Sciences. An in-depth introduction to today's most commonly used statistical and multivariate techniques; Using Multivariate Statistics presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors' practical approach focuses on the benefits and limitations of applying a technique to a data set - when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output.
Including chapters on statistics and SPSS
Chapter 6- Best practices in exploratory factor analysis
by
Osborne, J., Costello, A. & Kellow, J. (2008). Best practices in exploratory factor analysis. In Osborne, J. (Ed.), Best practices in quantitative methods (pp. 86-99). SAGE Publications, Inc.
The Visual Display of Quantitative Information
by
This book deals with the theory and practice in the design of data graphics and makes the point that the most effective way to describe, explore, and summarize a set of numbers is to look at pictures of those numbers, through the use of statistical graphics, charts, and tables. It includes 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Also offered is information on the design of the high-resolution displays, small multiples, editing and improving graphics, and the data-ink ratio. Time-series, relational graphics, data maps, multivariate designs, as well as detection of graphical deception: design variation vs. data variation, and sources of deception are discussed. Information on aesthetics and data graphical displays is included.
Storytelling with data : a data visualization guide for business professionals
by
Don't simply show your data--tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!
Discovering Statistics Using IBM SPSS Statistics
by
Hear about student feedback on the character features that make this book special...With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What's brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on. A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills New sections on replication, open science and Bayesian thinking Now fully up to date with latest versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment. For instructions on how to upload the resources you want, please visit the Instructors′ page or alternatively, contact your local SAGE sales representative.Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics. More information on this version of the software′s features can be found here.
IBM SPSS Statistics 25 Step by Step
by
IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge. New to this edition: Updated throughout to SPSS 25 Updated / restructured material on: Chart Builder; Univariate ANOVA; moderation on two- and three-way ANOVA; and Factor Analytic Techniques (formerly Factor Analysis structure) New material on computing z and T scores, and on computing z scores within descriptive statistics　 Clearer in-chapter links between the type of data and type of research question that the procedure can answer Updated / additional datasets, exercises, and expanded Companion Website material, including Powerpoint slides for instructors
SPSS survival manual : a step by step guide to data analysis using IBM SPSS
by
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.In her bestselling guide, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report.For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.This sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non- parametric statistics, importing data, and calculating dates.'An excellent introduction to using SPSS for data analysis. It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided
Practical statistics : a quick and easy guide to IBM SPSS statistics, STATA, and other statistical software
by
This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in SPSS, Stata, and other programmes. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. Key Features: - Step-by-step instructions on how to run statistical tests enables students to run complex statistical tests quickly, efficiently, and accurately. - Clear explanations of the tests allow students to better understand the theory behind the tests and their proper use. - Includes instructions using both the menus and syntax beginners need. - Provides more advanced students the direction to run quick and efficient analyses (syntax). This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioural sciences who need assistance in understanding the various statistical packages.
Practice of Social Research
by
A straightforward, comprehensive, and approachable guide to research as practiced by social scientists, Babbie's "gold-standard" text gives you the tools you need to apply research concepts practically, as both a researcher and a consumer. Babbie emphasizes the process by showing you how to design and construct projects, introducing the various observation modes in use today, and answering critical questions about research methods--such as how to conduct online surveys and analyze both qualitative and quantitative data.
Including journal articles on statistics and SPSS
This is a very simple straightforward clear description of how to use SPSS to run and read the output tables for descriptive statistics presented by Dr. Michael J. Bernstein from Penn State University.
A video on the mean, median, and mode by Math Plus Motion, LLC. This group also has other youtube videos on descriptive statistics.
Youtube video by ANDY FIELD -- author of the popular Discovering Statistics Using IBM Statistics --- a "how to" book covering the full range of types of statistical analysis used in leadership and change research. This video covers independent t-tests and paired sample t-tests using SPSS.
Youtube video on reading SPSS results for independent samples t-tests by BrunelASK
Youtube video on reading SPSS results for Paired Sample t-tests by BrunelASK
Youtube covering independent t-tests using SPSS produced by Research by Design, presented by Todd Daniel, PhD.
Youtube covering Levene’s test for Independent samples t-test using SPSS produced by Research by Design, presented by Todd Daniel
Youtube covering paired or matched sample t-tests using SPSS (for before and after intervention studies), produced by Research by Design, presented by Todd Daniel, PhD
(Simple ANOVA and Post Hoc tests)
(FACTORIAL ANOVA)
These three videos produced by How2stats.net discuss sample size for multiple regression analysis -- a type of correlational research.
This is an easy-to-understand video by Daniel Storage, PhD from the University of Denver, on correlations.
This video by Doug Krull, PhD of Northern Kentucky University describes correlational research and the possible confounding effects or biases.
This is a very simple straightforward clear description of the easiest type of regression -- simple linear with one dependent and one independent variable -- presented by Dr. Michael J. Bernstein from Penn State University. Understanding simple linear regression greatly facilitates an understanding of multiple regression analysis.
This is a series of three short clear you tubes on multiple regression analysis developed and presented by Quantitative Specialists. They cover the basic information about how to run multiple regression in SPSS, how to understand the SPSS output, and how to describe your findings. Please note that current versions of SPSS may vary slightly from the version used in you tube presentations.
